At a glance
- Experience
- 3+ years experience
- Workplace
- Remote
- Location
- US · SF Bay Area
About the role
- The Safety Engineering - Triage & Insights Team builds systems and customer-facing products that help fleets identify unsafe driving behaviors and recognize positive habits.
- The role involves developing AI-native product experiences, including LLM-powered workflows and agentic systems, to move customers toward proactive safety operations.
- Engineers own customer-facing features end-to-end, partnering with Product, Design, and ML teams to deliver scalable solutions.
Responsibilities
- Own customer-facing features and platform capabilities from design and implementation through production rollout.
- Architect, build, test, and deliver full-stack products across services, APIs, and web and mobile experiences.
- Integrate LLMs into safety workflows and develop agent tooling and retrieval-augmented generation (RAG).
- Design interactions between AI agents and the product UI.
- Design and run evaluations and build human-in-the-loop feedback loops to improve AI output accuracy.
- Use AI coding tools and agents to plan, build, and ship software.
- Make technical tradeoffs across speed, maintainability, scalability, cost, and customer impact.
- Own the operational health of production systems, improving reliability and scalability.
- Collaborate across Engineering, Product, Design, ML, and platform teams.
- Champion and embed Samsara's cultural principles.
Requirements
- 3+ years of professional software engineering experience building, shipping, and operating reliable customer-facing production systems.
- Strong programming fundamentals in a language such as Golang, Java, or Python.
- Experience writing clean, maintainable code and reviewing peers' code.
- Experience developing features or end-to-end solutions across backend services, APIs, and modern web applications.
- Experience or demonstrated interest in AI-native development, including LLM integration, agentic workflows, or AI evaluations.
- Experience using data, metrics, logs, tests, or tracing to investigate issues and validate releases.
- Ability to independently own moderately complex projects and deliver on milestones.
- Strong communication and collaboration skills.
- Growth mindset and product intuition.
Preferred qualifications
- Experience building and scaling customer-facing AI or LLM-powered products in production.
- Experience with agent tooling, RAG, prompt engineering, or conversational and voice experiences.
- Experience with LLM evaluation and observability tools such as Langfuse or Eino.
- Experience optimizing LLM-powered systems for cost and token efficiency.
- Track record of using AI coding agents to plan and deliver features.
- Experience working across the stack with Go, GraphQL, TypeScript, React, React Native, and AWS/Azure/GCP.
- Familiarity with observability, rollout practices, and monitoring approaches.
- Bachelor's degree in Computer Science, Engineering, or a related field.
Benefits
- Initial RSU grant with no vesting cliff
- Ongoing RSU refresh opportunities
- Performance-based bonus/variable pay
- Professional development stipend
- Comprehensive health plans
- Parental leave plans
Workplace
- Remote position open to candidates residing in the US and Canada.
- Flexible, employee-led remote model.
Skills
- Golang
- Java
- Python
- GraphQL
- TypeScript
- React
- React Native
- AWS
- Azure
- Google Cloud
- LLMs
- RAG
Show all 14 skills
- Langfuse
- Eino
